code: def fit_test_data(self):
      data = [
          dict(
              X_train=self._get_X_train(),
              y_train=gs.array([0, 0, 1, 1]),
              expected=gs.array(
                  [
                      [[EULER, 0], [0, 1]],
                      [[EULER**4, 0], [0, 1]],
                  ]
              ),
          )
      ]
      return self.generate_tests(data)
  
file_path: geomstats/tests/tests_geomstats/test_learning/data/mdm.py
imports: import geomstats.backend
  from geomstats.test.data import TestData
label_desc: Use image node_id 4 for calling the RiemannianMinimumDistanceToMeanSPDTestData obj's underlying member method code with example usage: obj.fit_test_data() and returns: self